Research Article

Travel Trajectory Frequent Pattern Mining Based on Differential Privacy Protection

Table 1

Location data sample.

Encrypted idLongitudeLatitudeCityGridTime (m)

W90H0925118.80365532.067106Nanjing020310/1/14:30
W90H0925118.78471832.073593Nanjing020910/1/16:38
W90H0925118.78829432.066525Nanjing022110/1/17:00
W90H0925118.79734832.072255Nanjing034710/1/18:26
W90H0925118.79600132.064865Nanjing030910/1/19:55
W90H0925118.78829432.066525Nanjing022110/1/22:24